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geostatsp (version 1.1.8)
Geostatistical Modelling with Likelihood and Bayes
Description
This package provides to geostatistical modelling facilities using Raster and SpatialPoints objects. Non-Gaussian models are fit using INLA.
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Install
install.packages('geostatsp')
Monthly Downloads
723
Version
1.1.8
License
GPL
Maintainer
Patrick Brown
Last Published
January 5th, 2015
Functions in geostatsp (1.1.8)
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likfitLgm
Likelihood Based Parameter Estimation for Gaussian Random Fields
krigeLgm
Spatial prediction, or Kriging
maternGmrfPrec
Precision matrix for a Matern spatial correlation
swissRainR
Raster of Swiss rain data
profLlgm
Joint confidence regions
RFsimulate
Simulation of Random Fields
wheat
Mercer and Hall wheat yield data
rongelapUTM
Rongelap data
murder
Murder locations
glgm-methods
Generalized Linear Geostatistical Models
swissRain
Swiss rainfall data
inla.models
Valid models in INLA
matern
Evaluate the Matern correlation function
spatialRoc
Sensitivity and specificity
variog
Compute Empirical Variograms and Permutation Envelopes
excProb
Exceedance probabilities
nn32
Nearest neighbour matrices
squareRaster
Create a raster with square cells
loaloa
Loaloa prevalence data from 197 village surveys
asImRaster
Convert a raster to an im object
stackRasterList
Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack.
lgm-methods
Linear Geostatistical Models
gambiaUTM
Gambia data
conditionalGmrf
Conditional distribution of GMRF
simLgcp
Simulate a log-Gaussian Cox process